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ORCIDSergio Santander-Jiménez
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2020 – today
- 2025
[j30]Fernando M. Rodríguez-Bejarano
, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
A multi-objective artificial bee colony approach for identifying cancer driver pathways. Expert Syst. Appl. 275: 127071 (2025)- 2024
- [j29]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, José M. Granado Criado, Álvaro Rubio-Largo, Juan Antonio Gómez Pulido, César Gómez-Martín, Arturo Durán-Domínguez:
Offline and online peer assessment in computer engineering: Insights from a 5-year experience. Educ. Inf. Technol. 29(4): 4591-4610 (2024) - [j28]Fernando M. Rodríguez-Bejarano, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
GADPO: Genetic Algorithm based on Dominance for Primer Optimization. Expert Syst. Appl. 238(Part E): 122206 (2024) - [c24]Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa:
IPU-EpiDet: Identifying Gene Interactions on Massively Parallel Graph-Based AI Accelerators. IPDPS 2024: 631-643 - 2023
- [j27]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
A multi-objective butterfly optimization algorithm for protein encoding. Appl. Soft Comput. 139: 110269 (2023) - [c23]Miguel Graça, Diogo Marques, Sergio Santander-Jiménez, Leonel Sousa, Aleksandar Ilic:
Interpreting High Order Epistasis Using Sparse Transformers. CHASE 2023: 114-125 - 2022
- [j26]José M. Granado Criado, Álvaro Rubio-Largo, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Multiobjective evolutionary computation for high-order genetic interactions. Appl. Soft Comput. 128: 109538 (2022) - [j25]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Exploiting multi-level parallel metaheuristics and heterogeneous computing to boost phylogenetics. Future Gener. Comput. Syst. 127: 208-224 (2022) - [j24]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Inter-Algorithm Multiobjective Cooperation for Phylogenetic Reconstruction on Amino Acid Data. IEEE Trans. Cybern. 52(5): 3577-3591 (2022) - [j23]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Parallel multi-objective optimization approaches for protein encoding. J. Supercomput. 78(4): 5118-5148 (2022) - [c22]Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa:
Tensor-Accelerated Fourth-Order Epistasis Detection on GPUs. ICPP 2022: 84:1-84:11 - [c21]Diogo Marques, Rafael Campos, Sergio Santander-Jiménez, Zakhar Matveev, Leonel Sousa, Aleksandar Ilic:
Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study. IPDPS 2022: 146-156 - [i1]Diogo Marques, Rafael Campos, Sergio Santander-Jiménez, Zakhar Matveev, Leonel Sousa, Aleksandar Ilic:
Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study. CoRR abs/2201.10956 (2022) - 2021
- [j22]Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa:
Retargeting Tensor Accelerators for Epistasis Detection. IEEE Trans. Parallel Distributed Syst. 32(9): 2160-2174 (2021) - [c20]Gaspar Ribeiro, Nuno Neves, Sergio Santander-Jiménez, Aleksandar Ilic:
HEDAcc: FPGA-based Accelerator for High-order Epistasis Detection. FCCM 2021: 124-132 - [c19]Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa:
Fourth-Order Exhaustive Epistasis Detection for the xPU Era. ICPP 2021: 27:1-27:10 - 2020
- [j21]José M. Granado Criado, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
A multi-objective optimization procedure for solving the high-order epistasis detection problem. Expert Syst. Appl. 142 (2020) - [j20]Francisco Gonçalves, Sergio Santander-Jiménez, Leonel Sousa, José M. Granado Criado, Aleksandar Ilic:
Parallel evolutionary computation for multiobjective gene interaction analysis. J. Comput. Sci. 40: 101068 (2020) - [j19]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Antonio Zahinos-Márquez, Leonel Sousa:
GPU acceleration of Fitch's parsimony on protein data: from Kepler to Turing. J. Supercomput. 76(12): 9827-9853 (2020) - [c18]Rafael Campos, Diogo Marques, Sergio Santander-Jiménez, Leonel Sousa, Aleksandar Ilic:
Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection. Euro-Par 2020: 613-628 - [c17]Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa:
Exploring the Binary Precision Capabilities of Tensor Cores for Epistasis Detection. IPDPS 2020: 338-347 - [c16]Ricardo Nobre, Sergio Santander-Jiménez, Leonel Sousa, Aleksandar Ilic:
Accelerating 3-Way Epistasis Detection with CPU+GPU Processing. JSSPP 2020: 106-126
2010 – 2019
- 2019
- [j18]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado Criado:
Multi-Objective Artificial Bee Colony for designing multiple genes encoding the same protein. Appl. Soft Comput. 74: 90-98 (2019) - [j17]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes. Expert Syst. Appl. 136: 83-93 (2019) - [j16]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
A multiobjective adaptive approach for the inference of evolutionary relationships in protein-based scenarios. Inf. Sci. 485: 281-300 (2019) - [j15]Belen Gonzalez-Sanchez, Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Multi-objective protein encoding: Redefinition of the problem, new problem-aware operators, and approach based on Variable Neighborhood Search. Inf. Sci. 500: 173-189 (2019) - [j14]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Jorge Vicente-Viola, Leonel Sousa:
Comparative assessment of GPGPU technologies to accelerate objective functions: A case study on parsimony. J. Parallel Distributed Comput. 126: 67-81 (2019) - [j13]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Parallel computing in bioinformatics: a view from high-performance, heterogeneous, and cloud computing. J. Supercomput. 75(7): 3369-3373 (2019) - [j12]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Comparative Analysis of Intra-Algorithm Parallel Multiobjective Evolutionary Algorithms: Taxonomy Implications on Bioinformatics Scenarios. IEEE Trans. Parallel Distributed Syst. 30(1): 63-78 (2019) - [c15]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Analysis of MOEA/D Approaches for Inferring Ancestral Relationships. HAIS 2019: 168-180 - 2018
- [j11]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data. IEEE Trans. Evol. Comput. 22(6): 879-893 (2018) - [c14]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Phylogenetic Reconstructions Using an Indicator-Based Bat Algorithm for Multicore Processors. BIBM 2018: 753-756 - [c13]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Analysis of Scheduling Policies in Metaheuristics for Evolutionary Biology. PBio@EuroMPI 2018: 3-10 - [e2]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez, José M. Granado Criado, Rosa M. Badia:
Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, PBio@EuroMPI 2018, Barcelona, Spain, September 23, 2018. ACM 2018 [contents] - 2017
- [j10]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Parallelism-based approaches in computational biology: a view from diverse case studies. Clust. Comput. 20(3): 1865-1867 (2017) - [j9]Sergio Santander-Jiménez, Aleksandar Ilic, Leonel Sousa, Miguel A. Vega-Rodríguez:
Accelerating the phylogenetic parsimony function on heterogeneous systems. Concurr. Comput. Pract. Exp. 29(8) (2017) - [j8]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Using mixed mode programming to parallelize an indicator-based evolutionary algorithm for inferring multiobjective phylogenetic histories. Soft Comput. 21(19): 5601-5620 (2017) - [j7]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Asynchronous Non-Generational Model to Parallelize Metaheuristics: A Bioinformatics Case Study. IEEE Trans. Parallel Distributed Syst. 28(7): 1825-1838 (2017) - [c12]Daniel Gallego-Sánchez, José M. Granado Criado, Sergio Santander-Jiménez, Álvaro Rubio-Largo, Miguel A. Vega-Rodríguez:
Parallel Multi-objective Optimization for High-Order Epistasis Detection. ICA3PP 2017: 523-532 - 2016
- [j6]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Performance evaluation of dominance-based and indicator-based multiobjective approaches for phylogenetic inference. Inf. Sci. 330: 293-314 (2016) - [c11]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Improving Multiobjective Phylogenetic Searches by Using a Parallel \varepsilon -Dominance Based Adaptation of the Firefly Algorithm. Euro-Par Workshops 2016: 384-396 - [e1]María Botón-Fernández, Carlos Martín-Vide, Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Algorithms for Computational Biology - Third International Conference, AlCoB 2016, Trujillo, Spain, June 21-22, 2016, Proceedings. Lecture Notes in Computer Science 9702, Springer 2016, ISBN 978-3-319-38826-7 [contents] - 2015
- [j5]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
A hybrid approach to parallelize a fast non-dominated sorting genetic algorithm for phylogenetic inference. Concurr. Comput. Pract. Exp. 27(3): 702-734 (2015) - [j4]Miguel A. Vega-Rodríguez, Sergio Santander-Jiménez:
Parallelism-based technologies in bioinformatics and biomedicine: a view from diverse perspectives. Concurr. Comput. Pract. Exp. 27(18): 5473-5475 (2015) - [j3]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction. Inf. Sci. 324: 163-185 (2015) - [j2]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Parallel Multiobjective Metaheuristicsfor Inferring Phylogenies on Multicore Clusters. IEEE Trans. Parallel Distributed Syst. 26(6): 1678-1692 (2015) - 2014
- [c10]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Applying OpenMP-based parallel implementations of NSGA-II and SPEA2 to study phylogenetic relationships. CLUSTER 2014: 305-313 - [c9]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Performance analysis of Multiobjective Artificial Bee Colony implementations for phylogenetic reconstruction. NaBIC 2014: 35-40 - [c8]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Inferring Multiobjective Phylogenetic Hypotheses by Using a Parallel Indicator-Based Evolutionary Algorithm. TPNC 2014: 205-217 - 2013
- [j1]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Applying a multiobjective metaheuristic inspired by honey bees to phylogenetic inference. Biosyst. 114(1): 39-55 (2013) - [c7]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
A Parallel Multiobjective Algorithm Inspired by Fireflies for Inferring Evolutionary Trees on Multicore Machines. EUROCAST (1) 2013: 412-419 - [c6]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies. EvoBIO 2013: 141-152 - [c5]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inference. GECCO (Companion) 2013: 1587-1594 - [c4]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez:
Parallelizing a multiobjective swarm intelligence approach to phylogenetics using hybrid MPI/OpenMP schemes. EuroMPI 2013: 193-198 - 2012
- [c3]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm. EvoBIO 2012: 144-155 - [c2]Sergio Santander-Jiménez, Miguel Ángel Vega Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Evaluating the Performance of a Parallel Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies on Multicore Architectures. ISPA 2012: 713-720 - [c1]Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Comparing Different Operators and Models to Improve a Multiobjective Artificial Bee Colony Algorithm for Inferring Phylogenies. TPNC 2012: 187-200
Coauthor Index
aka: Miguel Ángel Vega Rodríguez
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